Two-way sync
Changes in Servicemax or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Servicemax and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Servicemax through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in SQL Server.
Stacksync mirrors Accounts, Contacts, Cases, Products from Servicemax into Views, Columns, Primary and Unique Keys, CDC Change Tables in SQL Server and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Servicemax, so the tool and the database never disagree.
Write to the synced tables in SQL Server and Stacksync propagates the change into Servicemax, replacing custom integration code.
Updates in Servicemax arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Servicemax objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Contacts is specific to Servicemax and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Cases is specific to Servicemax and Stored Procedures to SQL Server — each maps to any object or custom field on the other side. | |
| Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Databases Instance-level databases that scope a sync's reads and writes. | Products is specific to Servicemax and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| Work Orders SVMXC__Service_Order__c; the core field-service job record for install, repair, and maintenance; synced two-way with databases and pushed to ERPs at close. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Work Orders is specific to Servicemax and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Work Details SVMXC__Service_Order_Line__c; line items on a Work Order for labor, parts used, and expenses; read out for billing or written back with usage. | Tables The primary sync target; rows map to records in connected systems. | Work Details is specific to Servicemax and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. | Views Read-side projections used as outbound sync sources. | Installed Products is specific to Servicemax and Views to SQL Server — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in Servicemax are captured at the source via change data capture — no polling loop against its API. Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object.
DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Servicemax–SQL Server connection.
Changes in Servicemax or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Servicemax or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Servicemax or SQL Server record.
Track your Servicemax ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Servicemax and SQL Server.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Servicemax and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Servicemax and SQL Server objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Servicemax and SQL Server: authenticate both systems, choose the objects to sync (such as Servicemax's Contacts and Cases), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Servicemax side: Accounts, Contacts, Cases, Products, plus custom fields where Servicemax exposes them. On the SQL Server side: Views, Columns, Primary and Unique Keys, CDC Change Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Servicemax and SQL Server: Automate Servicemax from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in SQL Server and Stacksync propagates the change into Servicemax, replacing custom integration code.
Servicemax: Salesforce REST, SOAP, and Bulk APIs (ServiceMax is a managed package on the Salesforce platform). Authentication: Salesforce OAuth login via a user with API access; the connecting profile needs object and field permissions on ServiceMax's SVMXC__ objects. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Servicemax: Syncs consume the Salesforce org-wide daily API allocation shared by every integration; it varies by edition and license count. SQL Server: CDC setup requires a one-time script run by a DBA with sysadmin privileges. Stacksync's field mapping accounts for these differences between Servicemax and SQL Server without custom code.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 544 integrations available for Servicemax and SQL Server.